portal-vlm: qwen25vl-hypernet
PorTAL hypernet (task latent + decoder core + Qwen2.5-VL converter) generating r8 LoRA for 252 LM sites. The SOURCE checkpoint both ported rows were refit from.
Part of the portal-vlm release - an independent replication of Ramp Labs' PorTAL (portable task adapters via hypernet-generated LoRA) extended to vision-language models on GUI grounding.
| ScreenSpot-v2 overall | web split | |
|---|---|---|
| this artifact | 82.8% | 79.9% |
- Base model:
Qwen/Qwen2.5-VL-3B-Instruct@66285546d2b821cf421d4f5eb2576359d3770cd3 - Training config:
configs/qwen25vl_hypernet.yaml - Eval record:
results/qwen25vl_hypernet.json
Reproduce this row without training
git clone https://github.com/robbym-dev/portal-vlm && cd portal-vlm && uv sync
uv run python scripts/eval.py --config configs/qwen25vl_hypernet.yaml --adapter hf:manihani4/portal-vlm-qwen25vl-hypernet
hypernet.pt is a PorTAL hypernet checkpoint (task latent + decoder core + per-base converters), not a PEFT adapter: at eval time the hypernet generates r8 LoRA factors for the target base, which scripts/eval.py injects on the fly.
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Model tree for manihani4/portal-vlm-qwen25vl-hypernet
Base model
Qwen/Qwen2.5-VL-3B-Instruct